else -> readToken()
        } ?: return // Expected a value.

      val replaced = parameters.put(peek, parameterValue)
      peek = null
      if (replaced != null) return // Unexpected duplicate parameter.
      if (!skipCommasAndWhitespace() && !exhausted()) return // Expected ',' or EOF.
    }
    result.add(Challenge(schemeName, parameters))
  }
}

/** Returns true if any commas were skipped. */

 *
 * <p>When iterating through the collections supplied by this class, the ordering of values for a
 * given key agrees with the order in which the values were added.
 *
 * <p>This multimap allows duplicate key-value pairs. After adding a new key-value pair equal to an
 * existing key-value pair, the {@code ArrayListMultimap} will contain entries for both the new
 * value and the old value.
 *

    // my best guess is that the jdk authors have spent more time optimizing that callpath than this
    // one. (StringCoding$StringDecoder vs. StreamDecoder).  StringCoding has a ton of special cases
    // theoretically we could duplicate all that logic here to try to beat 'new String' or at least
    // come close.
    USING_DECODER_WITH_SIZE_HINT {
      @Override
      String read(ByteSource byteSource, Charset cs) throws IOException {

                    new ContentNotFoundException(urlQueue.getParentUrl(), url));
        }
    }

    /**
     * Stores a child URL in the crawling queue with duplicate host handling.
     * This method applies duplicate host conversion before storing the URL.
     *
     * @param childUrl the child URL to store
     * @param parentUrl the parent URL that referenced this child URL

            return matcher.group(1);
        }
        return null;
    }

    /**
     * Gets a duplicate URL by adding or removing a trailing slash.
     *
     * @param requestData the request data to create a duplicate for
     * @return the request data with the duplicate URL
     */
    protected RequestData getDuplicateUrl(final RequestData requestData) {
        final String url = requestData.getUrl();

        try {
            // For TCP fallback, simulate writing data through the TCP socket
            int bytesToWrite = Math.min(length, buffer.remaining());

            ByteBuffer writeBuffer = buffer.duplicate();
            writeBuffer.limit(writeBuffer.position() + bytesToWrite);

            int totalWritten = 0;
            while (writeBuffer.hasRemaining()) {

    /**
     * Calculates the effective repositories for the given input repositories which are assumed to be already mirrored
     * (if applicable). This process will essentially remove duplicate repositories by merging them into one equivalent
     * repository. It is worth to point out that merging does not simply choose one of the input repositories and

    checkNotNull(mergeFunction, "mergeFunction");

    /*
     * No mutable Table exactly matches the insertion order behavior of ImmutableTable.Builder, but
     * the Builder can't efficiently support merging of duplicate values.  Getting around this
     * requires some work.
     */

    return Collector.of(
        ImmutableTableCollectorState<R, C, V>::new,
        (state, input) ->
            state.put(

   * referencing the type variables seem worthwhile.
   */
  final void checkNoDuplicate(R rowKey, C columnKey, @Nullable V existingValue, V newValue) {
    checkArgument(
        existingValue == null,
        "Duplicate key: (row=%s, column=%s), values: [%s, %s].",
        rowKey,
        columnKey,
        newValue,
        existingValue);
  }

  // redeclare to satisfy our test for b/310253115
  @Override

        assertNull(facetInfo.size);
        assertNull(facetInfo.minDocCount);
        assertNull(facetInfo.sort);
        assertNull(facetInfo.missing);
    }

    // Test init with duplicate and empty field names
    public void test_init_withDuplicateAndEmptyFieldNames() {
        FessConfig fessConfig = new FessConfig.SimpleImpl() {
            @Override
            public String getQueryFacetFields() {